Instructions to use acrastt/kalomaze-stuff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use acrastt/kalomaze-stuff with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "acrastt/kalomaze-stuff") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3e7f2ee734d03309db88a9dfcd34c3f08626a8ac6ad98cee5f1d6fa4c76ba95
- Size of remote file:
- 4.73 kB
- SHA256:
- 82927ffe90b51593899088c9819d8f99d2c3cee85ff954cf955874f0579b430b
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